modify README & add model

README.md

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 ---
 license: mit
 ---
+
+## Introduction
+
+MNIST_LeNet is a CNN model used for handwriting recognization. 
+This model is trained with traditional MNIST dataset, which is included in PyTorch as default.
+
+As a result, it could achieve 99.5% accuracy among handwriting recognization tasks.
+
+## Hands on
+
+```python3
+import torch
+
+LeNet = torch.load('path/to/model/mnist_lenet.pt')
+
+LeNet.eval()
+
+# config preprocessor for your data
+transform = ...
+
+# load data
+input_data = transform(open('path/to/your/data'))
+
+# predict with our model
+with torch.no_grad():
+    output = LeNet(input_data)
+
+# explain results
+prob = torch.nn.functional.softmax(output[0], dim=0)
+...
+```
+
+## Reference
+
+- [LeNet Paper: GradientBased Learning Applied to Document
+Recognition(1998)](http://vision.stanford.edu/cs598_spring07/papers/Lecun98.pdf)
+

mnist_lenet.pt

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+size 183088